Acumatica
11 days ago
ML Engineer
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Описание вакансии
ML Engineer / Acumatica / Remote from Serbia
Acumatica is a US-based cloud ERP product company and a leading provider of business management software that empowers small and mid-size businesses to unlock their potential and drive growth. Our fully integrated suite includes Financials, Distribution, CRM, and Project Accounting, all built on a robust and flexible platform.
We’re passionate about technology, product excellence, and making a meaningful impact. With offices across the globe and a strong R&D team in Serbia, we offer a collaborative environment, growth opportunities, and flexibility.
🔗 https://www.acumatica.com
Responsibilities:
🟥 Develop, implement, and maintain scalable ML models for production.
🟥 Apply traditional ML (regression, classification, clustering) and generative AI (GANs, VAEs, transformers) methods.
🟥 Use tools like Pandas, NumPy, TensorFlow, PyTorch, and Keras to develop and optimize models.
🟥 Apply C# skills to integrate ML models into the core application.
🟥 Design and implement robust cloud deployment strategies on AWS or Azure.
🟥 Collaborate with product managers, data engineers, and developers to deliver end-to-end ML solutions.
🟥 Continuously monitor industry trends and integrate new ML techniques.
Benefits:
🟢 Remote or hybrid work from Serbia.
🟢 Private health insurance.
🟢 Generous vacation allowance.
🟢 Performance-based bonuses.
🟢 Full work equipment provided.
🟢 Full relocation support if moving to Serbia.
🟢 Excellent opportunities for career advancement.
Requirements:
🔵 4+ years of ML engineering experience with deployed production models.
🔵 Strong proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras).
🔵 Solid background in C# software development.
🔵 Hands-on experience with ML deployment on AWS or Azure.
🔵 Strong problem-solving and collaboration skills.
🔵 Excellent communication skills in English.
🔵 Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field.
Apply:
🚀 Ready to build next-gen ML solutions with us? Apply now!
Acumatica is a US-based cloud ERP product company and a leading provider of business management software that empowers small and mid-size businesses to unlock their potential and drive growth. Our fully integrated suite includes Financials, Distribution, CRM, and Project Accounting, all built on a robust and flexible platform.
We’re passionate about technology, product excellence, and making a meaningful impact. With offices across the globe and a strong R&D team in Serbia, we offer a collaborative environment, growth opportunities, and flexibility.
🔗 https://www.acumatica.com
Responsibilities:
🟥 Develop, implement, and maintain scalable ML models for production.
🟥 Apply traditional ML (regression, classification, clustering) and generative AI (GANs, VAEs, transformers) methods.
🟥 Use tools like Pandas, NumPy, TensorFlow, PyTorch, and Keras to develop and optimize models.
🟥 Apply C# skills to integrate ML models into the core application.
🟥 Design and implement robust cloud deployment strategies on AWS or Azure.
🟥 Collaborate with product managers, data engineers, and developers to deliver end-to-end ML solutions.
🟥 Continuously monitor industry trends and integrate new ML techniques.
Benefits:
🟢 Remote or hybrid work from Serbia.
🟢 Private health insurance.
🟢 Generous vacation allowance.
🟢 Performance-based bonuses.
🟢 Full work equipment provided.
🟢 Full relocation support if moving to Serbia.
🟢 Excellent opportunities for career advancement.
Requirements:
🔵 4+ years of ML engineering experience with deployed production models.
🔵 Strong proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras).
🔵 Solid background in C# software development.
🔵 Hands-on experience with ML deployment on AWS or Azure.
🔵 Strong problem-solving and collaboration skills.
🔵 Excellent communication skills in English.
🔵 Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field.
Apply:
🚀 Ready to build next-gen ML solutions with us? Apply now!